Manufacturing Capability-Aware Supplier Identification: How Representation Methods Affect Performance, Robustness, and Information Exposure
* First & corresponding author
Journal of Manufacturing Systems
Publications
Journal articles and selected conference papers.
* First & corresponding author
Journal of Manufacturing Systems
* First & corresponding author
Journal of Manufacturing Systems, Vol. 89, pp. 318–336
* First & corresponding author
Manufacturing Letters, Vol. 49, pp. 32–36
* First & corresponding author
Journal of Manufacturing Systems, Vol. 84, pp. 173–188
IEEE Access, Vol. 12, pp. 27661–27672
IEEE Access, Vol. 12, pp. 19569–19583
International Journal of Precision Engineering and Manufacturing–Green Technology, Vol. 11, No. 3, pp. 939–962
Co-author
International Journal of Precision Engineering and Manufacturing–Green Technology, Vol. 13, No. 3, pp. 1221–1242
Co-author
International Journal of Precision Engineering and Manufacturing–Smart Technology, Vol. 1, No. 2, pp. 165–185
Co-author
Journal of Appropriate Technology, Vol. 7, No. 2, pp. 196–205
Co-author
Sensors, Vol. 21, No. 11, Article 3648
* First & corresponding author
ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE), Anaheim, California · August 2025
ASPEN, Hong Kong · November 2023
PRESM, Okinawa, Japan · July 2023
ASPEN, Singapore · November 2022
11th International Conference on Appropriate Technology, Online · December 2020 · Best Paper Award
Current Work
Develops a task-aware framework for evaluating robotic capabilities against reachability, collision-free accessibility, spatial constraints, and deployment requirements.
Develops a multi-agent framework for identifying and evaluating suppliers across multi-tier manufacturing networks using structured capability evidence.
Examines how manufacturing capabilities can support technical matching while limiting unnecessary exposure of sensitive supplier information.
Develops an acoustic digital twin to evaluate and optimize sensor placement for detecting assembly-process anomalies from spatial acoustic measurements.